Triple

T16138434
Position Surface form Disambiguated ID Type / Status
Subject Jessica E391589 entity
Predicate hasVariant P455 FINISHED
Object Yessica
Yessica is a given name, typically a variant spelling of Jessica used in various Spanish-speaking and international contexts.
 E419348 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Yessica | Statement: [Jessica, hasVariant, Yessica]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yessica
Context triple: [Jessica, hasVariant, Yessica]
  • A. Rosanna
    Rosanna is a feminine given name of Latin origin, derived from a combination of "Rose" and "Anna."
  • B. Rosanna
    Rosanna is a residential suburb in Melbourne, Australia, known for its leafy streets, family-friendly atmosphere, and proximity to parklands and public transport.
  • C. Sheyla
    Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
  • D. Julianna
    Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
  • E. Yovanna
    Yovanna is a fictional character played by actress Adria Arjona, known from her work in film and television.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yessica
Triple: [Jessica, hasVariant, Yessica]
Generated description
Yessica is a given name, typically a variant spelling of Jessica used in various Spanish-speaking and international contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yessica
Target entity description: Yessica is a given name, typically a variant spelling of Jessica used in various Spanish-speaking and international contexts.
  • A. Rosanna
    Rosanna is a feminine given name of Latin origin, derived from a combination of "Rose" and "Anna."
  • B. Rosanna
    Rosanna is a residential suburb in Melbourne, Australia, known for its leafy streets, family-friendly atmosphere, and proximity to parklands and public transport.
  • C. Sheyla chosen
    Sheyla is a feminine given name, typically considered a variant of Sheila or Shayla and used in various cultures.
  • D. Julianna
    Julianna is a feminine given name most notably borne by American actress Julianna Margulies.
  • E. Yovanna
    Yovanna is a fictional character played by actress Adria Arjona, known from her work in film and television.
  • F. None of above.

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21a06e0988190b5cd62d422d058a2 completed April 17, 2026, 11:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff2b574148190b9d5b725d7d113af completed May 10, 2026, 2:51 a.m.
NEDg Description generation batch_69fff3478bfc8190bbcc0afbf6dbb089 completed May 10, 2026, 2:53 a.m.
NED2 Entity disambiguation (via description) batch_69fff3d29f50819093a9355d016f48dd completed May 10, 2026, 2:56 a.m.
Created at: April 10, 2026, 5:01 a.m.